Machine learning-based prediction of breast cancer growth rate in vivo.

Shristi BhattaraiSergey KlimovMohammed A AleskandaranyHelen BurrellAnthony WormallAndrew R GreenPadmashree RidaIan O EllisRemus M OsanEmad A RakhaRitu Aneja

Published in: British journal of cancer (2019)

Our Surr-INVIGOR model predicts in vivo BC growth rate during the pre-diagnostic stage and offers several useful applications.

Keyphrases

machine learning
artificial intelligence
big data
breast cancer risk